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Andrew Carl's Projects

hype icon hype

Hype: Compositional Machine Learning and Hyperparameter Optimization

hyper-engine icon hyper-engine

Python library for Bayesian hyper-parameters optimization

hyperas icon hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperbolictext icon hyperbolictext

TensorFlow source code for learning embeddings of text sequences in an unsupervised manner.

hypergan icon hypergan

A composable Generative Adversarial Network(GAN) with API and command line tool.

hypergrad icon hypergrad

Exploring differentiation with respect to hyperparameters

hypergraph icon hypergraph

A library for hypergraphs and hypergraph algorithms

hyperloop icon hyperloop

An open source Hyperloop model built in openmdao

hyperneat icon hyperneat

The original implementation of HyperNEAT in C++

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-convnet icon hyperopt-convnet

Convolutional computer vision architectures that can be tuned by hyperopt.

hyperopt-keras-cnn-cifar-100 icon hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Updated version here: https://github.com/Vooban/Hyperopt-Keras-CNN-CIFAR-100

hyperparameter_hunter icon hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

hypersearch icon hypersearch

Simple hypersearch wrapper around BayesianOpt or XGB

hypertools icon hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

i2cdevlib icon i2cdevlib

I2C device library collection for AVR/Arduino or other C++-based MCUs

iaf icon iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

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